ARM
Software ML Engineer Overview
| Company Name | ARM |
| Job Role | Software ML Engineer |
| Qualifications | Not Specified |
| Category | IT Jobs |
| Job Type | Full Time |
| Location | Multiple Locations |
Arm is hiring an experienced software engineer to help shape the next generation of machine learning and artificial intelligence technology. This position sits within the companyâs expanding machine learning software organization and focuses on building the software that enables AI workloads to run efficiently on future accelerator designs. The role is based in Manchester or Cambridge in the United Kingdom and is part of Armâs software engineering function.
What the role involves
You will contribute to the design and development of new capabilities across Armâs machine learning software stack. The work spans several technical areas, including machine learning compilation technology, framework-level software, kernel and user-space driver components, real-time embedded software, automated testing, and performance evaluation. The position is suited to someone who enjoys tackling complex technical challenges and wants to influence how AI and ML systems are implemented on future hardware.
As a more senior engineer, you are expected to take ownership of larger pieces of work and provide guidance to less experienced team members. A key part of the job is collaborating closely with the machine learning hardware team so that software and hardware responsibilities are divided in the most effective way for the overall system. The role also calls for someone who can contribute ideas, challenge existing approaches, and help drive progress in a fast-paced environment.
Team and working environment
Arm describes this as a small-team environment where individual contributions have real impact. The company says you will work with highly skilled engineers and have the chance to learn from people building sector-leading products on Arm technology. The broader software engineering organization is presented as one that influences a wide range of computing areas, from compilers and AI-enabled IoT through to cloud, automotive, and other advanced technologies.
The company also emphasizes a collaborative culture built around diversity, equity, and inclusion. Arm says it values mutual respect and expects colleagues to work together in a way that supports extraordinary outcomes.
Key responsibilities
- Design, build, and architect new features across the machine learning software stack.
- Work on ML compilation technologies and framework software.
- Develop kernel and user-space driver stack components.
- Contribute to real-time embedded software, automated testing, and performance measurement work.
- Lead larger technical work packages when needed and support the growth of junior engineers through mentoring.
- Partner with the ML hardware team to optimize how the system is partitioned between hardware and software.
- Use strong analytical thinking to solve difficult technical problems and propose innovative solutions.
- Collaborate effectively with people from different disciplines and teams to achieve shared objectives.
Skills and experience needed
- Experience delivering development work on cross-team projects with dependencies and milestone-based planning.
- Strong programming ability in C, C++, and Python.
- Practical experience with source control and collaboration tools such as Git, Gerrit, and Repo.
- Background using agile development methods, continuous integration, and test-driven development.
- Ability to work confidently in a busy, changing environment.
- Excellent communication and interpersonal skills for working across diverse teams.
Additional experience that would be useful
- Exposure to machine learning applications and frameworks.
- Experience in compiler development.
- Open-source software development experience.
- Understanding of hardware architecture principles.
What Arm offers
Arm says all employees receive training to help them succeed in their roles. The company also describes the workplace as friendly and high-performing, with enthusiastic and talented colleagues. In addition, Arm highlights a broader rewards package that goes beyond salary and includes support for health and wellbeing, work-life balance, financial recognition, and professional development.
The salary for this position is listed as £55,300 to £74,800 per year.
Hybrid working
Arm uses a hybrid working approach designed to support both strong performance and personal wellbeing. The company aims to bring people together in person where that helps teams work effectively, while still allowing flexibility. Each team can help define the working pattern that best fits its needs, and the exact arrangement for this role will be shared during the application process. Arm also notes that flexibility may be limited in some cases by legal, regulatory, tax, or other local considerations, and that the company will work with candidates to find the best possible solution.
Accessibility and recruitment support
If you need an adjustment or accommodation during recruitment, Arm invites you to contact its accommodations team by email. Examples of support mentioned include extra breaks between interviews, having documents read aloud, and help with office accessibility. Arm says accommodation requests are handled confidentially and only shared when necessary to provide the support requested.
Equal opportunities
Arm states that it is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
How to apply
Candidates can apply directly through the job posting. The page also includes an option to save the role, view the location, and share the vacancy through social channels or email.
Degree Requirement: Not Specified
Visa Sponsorship May be
To apply for this job please visit careers.arm.com.
